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Regression Analysis - Study Time and Exam Score

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Using Excel, prepare a linear regression equation for the following data and use it for prediction.

A random sample of study times for 12 students tracks hours of study for their advanced tax exam and the percentage grades they subsequently earned on their tax exam. Assume that study times have been compiled over a weekend.

Using Excel, prepare a linear regression equation for the following data and use it for prediction.

A random sample of study times for 12 students tracks hours of study for their advanced tax exam and the percentage grades they subsequently earned on their tax exam. Assume that study times have been compiled over a weekend.

Hours 10 16 12 11 9 15 14 13 9 10 11 12
Grade 98 90 85 92 75 95 90 85 70 85 80 93

(a) Paste your printout here.

(b) Compose the prediction equation.

(a) Use the regression equation to predict the grade of a student who takes the same exam the following semester after having studied 12 hours for it.

A multiple regression equation for the list price of homes in a certain community in the USA is , where represents age in years and represents number of rooms.

If a prospective buyer is interested in an older, well-constructed home about 55 years old with 10 rooms, what would be the predicted list price in that community? (Show your procedure.)

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The solution contains the construction of a regression equation to a given set of data and prediction of future values. It is provided in an attached Word file, PDF file, and Excel file.

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